Writing the thing with a differential first its useful in some contexts, by example in measure theory when $K:\mathcal{X}\times \mathcal{F} \to \mathbb{R}$ is a transition kernel, that is when $(\Omega ,\mathcal{F})$ is a measurable space and the map $A\mapsto K(x,A)$ is a measure for every $x\in \mathcal{X}$ and $x\mapsto K(x,A)$ is measurable for every $A\in \mathcal{F}$, then its common to define
$$
Kf(x):=\int f(\omega )K(x,d\omega)
$$
where above the "differential" notation says what is the measure of integration. Thus its more useful to write the integrals with the measure before the function to have the same order as in the LHS, so it becomes a useful mnemothecnic rule to write
$$
Kf(x)=\int K(x,d\omega)f(\omega )
$$
Similarly, if $\mu$ is a measure we can define the measure
$$
\mu K(A):=\int K(x,A)\mu(dx)
$$
where again its more useful to write the measure before the kernel in the integral, that is $\int \mu(dx)K(x,A)$ instead. Thus from here its easy to remember what means things like $MK$, where $M$ is another transition kernel, or $\mu Kf$, that is
$$
MK(x,A)=\int M(x,d\omega)K(\omega ,A),\quad \mu K f=\int \mu(dx)K(x,d\omega)f(\omega )
$$
I saw this use in the book on probability theory of Erhan Çinlar.
Also a justification for the use in more classical contexts, as a Riemann integral, is that the integration of continuous functions is a linear map, such that we can define
$$
Tf:=\int_{a}^b f(x) dx
$$
But then in some sense it seems more cleaner to write
$$
Tf=\int_{a}^b dx\, f(x)
$$
so in some sense $\int_{a}^b dx\,\cdot\, $ represents the linear map $T$.